Based on improved BP neural network of college students jump performance prediction and computer simulation

Author(s): Yongjun Li

Because now commonly used artificial intelligence to predict the BP neural network has some deficiency, which needs a lot of samples in practical application, and the prediction accuracy of difficulty grasping and other defects. Based on the analysis of the traditional BP algorithm particle swarm algorithm is proposed to improve the BP neural network algorithm ideas. And his application to the college students jump performance prediction, through computer simulation and actual long jump results show that the improved BP neural network algorithm accuracy is higher and relatively reasonable sample requirement. The algorithm is highly recognized by the industry.

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